Accounting Data Analytics

This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting. This specialization also develops learners’ skills in machine learning algorithms (using Python), including classification, regression, clustering, text analysis, time series analysis, and model optimization, as well as their ability to apply these machine learning skills to real-world problems

• Use Python for data preparation, visualization, and analysis
• Interpret accounting data
• Apply data analytics skills to accounting issues
• Understand machine learning techniques including classification, regression, clustering
• Optimize models and apply them to real-world problems

• Basic familiarity with data analytics terminology
• Willingness to practice with applied exercises or case studies